355 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" positions at Oak Ridge National Laboratory
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post-production quality data against program-specific requirements and proactively identify process areas needing improvement or innovation. Deliver ORNL’s mission by aligning behaviors, priorities, and
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, mentorship of junior staff, and the ability to influence program direction through data-driven engineering judgment and recognized subject-matter expertise. Key Responsibilities: Independently lead and perform
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positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL
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Requisition Id 16064 Overview: The Power Systems Resilience (PSR) Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD
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. This position resides in the Nuclear Materials & Procurement Group in the Business Management Services Section, Research Reactors Division, Neutron Sciences Directorate at Oak Ridge National Laboratory. As part
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, engineers, and program managers to gather technical information and translate complex material into accurate, web-optimized formats. Draft and edit web content to ensure clarity, technical accuracy, and
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performing x-ray computed tomography (XCT) imaging and the data analysis of images acquired using that method to identify features of interest and perform quantitative 3D image segmentation. The candidate will
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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning
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system and maintenance information. Support and implement the F&O directorate strategic predictive operations plan. Provide input into the development of program sustainability. Deliver ORNL’s mission by
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direction, mature technologies from lab to field, and integrate sensors, data pipelines, and analytics into operational environments. This position requires deep practical experience in power engineering and